{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nilmtk import *\n",
    "from nilmtk.disaggregate import fhmm_exact, combinatorial_optimisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "train = DataSet('/data/REDD/redd.h5')\n",
    "test = DataSet('/data/REDD/redd.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "building = 2\n",
    "train.set_window(end=\"30-4-2011\")\n",
    "test.set_window(start=\"30-4-2011\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_elec = train.buildings[building].elec\n",
    "test_elec = test.buildings[building].elec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:66: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  inline backend.\"\"\"\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:71: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  'retina', 'jpeg', 'svg', 'pdf'.\"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:85: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  use `figure_formats` instead)\"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:95: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  \"\"\"\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:114: DeprecationWarning: metadata {'config': True} was set from the constructor.  Metadata should be set using the .tag() method, e.g., Int().tag(key1='value1', key2='value2')\n",
      "  \"\"\")\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/ipykernel/pylab/config.py:44: DeprecationWarning: InlineBackend._config_changed is deprecated: use @observe and @unobserve instead.\n",
      "  def _config_changed(self, name, old, new):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/traitlets/traitlets.py:770: DeprecationWarning: A parent of InlineBackend._config_changed has adopted the new @observe(change) API\n",
      "  clsname, change_or_name), DeprecationWarning)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:96: DeprecationWarning: DisplayFormatter._formatters_default is deprecated: use @default decorator instead.\n",
      "  def _formatters_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:675: DeprecationWarning: PlainTextFormatter._deferred_printers_default is deprecated: use @default decorator instead.\n",
      "  def _deferred_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:667: DeprecationWarning: PlainTextFormatter._singleton_printers_default is deprecated: use @default decorator instead.\n",
      "  def _singleton_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:670: DeprecationWarning: PlainTextFormatter._type_printers_default is deprecated: use @default decorator instead.\n",
      "  def _type_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:670: DeprecationWarning: PlainTextFormatter._type_printers_default is deprecated: use @default decorator instead.\n",
      "  def _type_printers_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:675: DeprecationWarning: PlainTextFormatter._deferred_printers_default is deprecated: use @default decorator instead.\n",
      "  def _deferred_printers_default(self):\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:390: FutureWarning: fill_method is deprecated to .resample()\n",
      "the new syntax is .resample(...).ffill(limit=1)\n",
      "  data = data.resample(**resample_kwargs)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/dateutil/rrule.py:470: DeprecationWarning: Using both 'count' and 'until' is inconsistent with RFC 2445 and has been deprecated in dateutil. Future versions will raise an error.\n",
      "  \"raise an error.\", DeprecationWarning)\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:90: DeprecationWarning: DisplayFormatter._ipython_display_formatter_default is deprecated: use @default decorator instead.\n",
      "  def _ipython_display_formatter_default(self):\n",
      "/Users/nipunbatra/anaconda/lib/python2.7/site-packages/IPython/core/formatters.py:667: DeprecationWarning: PlainTextFormatter._singleton_printers_default is deprecated: use @default decorator instead.\n",
      "  def _singleton_printers_default(self):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111ebb1d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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UFACCgoIQQqDTqeGrPFBX2U0oc5PCEZX9vrCXwvSjjz5ixIgRPPPMM3Tt2pVmzZrh7+/P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\nQqPRaDRN8v9oQFWmko/UJQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111ebb610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_elec.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112d22310>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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19u3btbu7u16/fr3WWuv4+Hh9+PBhrbXWEREROjAwUB88eFDn5ubq7OxsHRYW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\nPAYOHMjWrVuJjY0lNTWVtm3bAnD06FE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      "text/plain": [
       "<matplotlib.figure.Figure at 0x103ecd490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_elec.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training model for submeter 'ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])'\n",
      "Training model for submeter 'ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])'\n",
      "Training model for submeter 'ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])'\n",
      "Done training!\n",
      "('Runtime =', 3.609100818634033, 'seconds.')\n"
     ]
    }
   ],
   "source": [
    "start = time.time()\n",
    "clf = combinatorial_optimisation.CombinatorialOptimisation()\n",
    "clf.train(train_elec, sample_period=120)\n",
    "end = time.time()\n",
    "print(\"Runtime =\", end-start, \"seconds.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading data for meter ElecMeterID(instance=2, building=2, dataset='REDD')     \n",
      "Done loading data all meters for this chunk.\n",
      "Estimating power demand for 'ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])'\n",
      "Estimating power demand for 'ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])'\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:336: FutureWarning: \n",
      ".resample() is now a deferred operation\n",
      "You called index(...) on this deferred object which materialized it into a series\n",
      "by implicitly taking the mean.  Use .resample(...).mean() instead\n",
      "  return resampled.index[0]\n"
     ]
    }
   ],
   "source": [
    "pred = {}\n",
    "gt= {}\n",
    "\n",
    "for i, chunk in enumerate(test_elec.mains().load(sample_period=120)):\n",
    "    chunk_drop_na = chunk.dropna()\n",
    "    pred[i] = clf.disaggregate_chunk(chunk_drop_na)\n",
    "    gt[i]={}\n",
    "    \n",
    "    for meter in test_elec.submeters().meters:\n",
    "        # Only use the meters that we trained on (this saves time!)    \n",
    "        gt[i][meter] = meter.load(sample_period=120).next()\n",
    "    gt[i] = pd.DataFrame({k:v.squeeze() for k,v in gt[i].iteritems()}, index=gt[i].values()[0].index).dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimating power demand for 'ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])'\n",
      "Estimating power demand for 'ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])'\n",
      "Estimating power demand for 'ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])'\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])</th>\n",
       "      <th>ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>2011-04-30 00:46:00-04:00</th>\n",
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       "      <th>2011-04-30 00:50:00-04:00</th>\n",
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       "      <th>2011-05-22 19:02:00-04:00</th>\n",
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       "      <th>2011-05-22 19:10:00-04:00</th>\n",
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       "      <th>2011-05-22 19:12:00-04:00</th>\n",
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       "      <th>2011-05-22 19:14:00-04:00</th>\n",
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       "    <tr>\n",
       "      <th>2011-05-22 19:16:00-04:00</th>\n",
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       "      <th>2011-05-22 19:18:00-04:00</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:20:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:22:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:24:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:26:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:28:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:30:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:32:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:34:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:36:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:38:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:40:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:42:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:44:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:46:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:48:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:50:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:52:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:54:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:56:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:58:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1534 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:02:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                                    \n",
       "...                                                                      ...                                                                    \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                                    \n",
       "\n",
       "                           ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:02:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                       \n",
       "...                                                                      ...                                                       \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                       \n",
       "\n",
       "                           ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:02:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                            \n",
       "...                                                                      ...                                                            \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                            \n",
       "\n",
       "                           ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:02:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:34:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:50:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:52:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:54:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:56:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                       \n",
       "...                                                                      ...                                                       \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:02:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:06:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:08:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:10:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:12:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:14:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:16:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:18:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:58:00-04:00                                                 14                                                       \n",
       "\n",
       "                           ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:02:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:34:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:36:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:38:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:40:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:42:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:44:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:46:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:48:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                     \n",
       "...                                                                      ...                                                     \n",
       "2011-05-22 19:00:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:04:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:52:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:54:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:56:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                     \n",
       "\n",
       "                           ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:02:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:36:00-04:00                                                211                                                            \n",
       "2011-04-30 00:38:00-04:00                                                211                                                            \n",
       "2011-04-30 00:40:00-04:00                                                211                                                            \n",
       "2011-04-30 00:42:00-04:00                                                211                                                            \n",
       "2011-04-30 00:44:00-04:00                                                211                                                            \n",
       "2011-04-30 00:46:00-04:00                                                211                                                            \n",
       "2011-04-30 00:48:00-04:00                                                211                                                            \n",
       "2011-04-30 00:50:00-04:00                                                211                                                            \n",
       "2011-04-30 00:52:00-04:00                                                211                                                            \n",
       "2011-04-30 00:54:00-04:00                                                211                                                            \n",
       "2011-04-30 00:56:00-04:00                                                211                                                            \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                            \n",
       "...                                                                      ...                                                            \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:02:00-04:00                                                211                                                            \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:06:00-04:00                                                211                                                            \n",
       "2011-05-22 19:08:00-04:00                                                211                                                            \n",
       "2011-05-22 19:10:00-04:00                                                211                                                            \n",
       "2011-05-22 19:12:00-04:00                                                211                                                            \n",
       "2011-05-22 19:14:00-04:00                                                211                                                            \n",
       "2011-05-22 19:16:00-04:00                                                211                                                            \n",
       "2011-05-22 19:18:00-04:00                                                211                                                            \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:58:00-04:00                                                211                                                            \n",
       "\n",
       "                           ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:02:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:34:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:36:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:38:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:50:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:52:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:54:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:56:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                         \n",
       "...                                                                      ...                                                         \n",
       "2011-05-22 19:00:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:04:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:52:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:54:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:56:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                         \n",
       "\n",
       "                           ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])  \\\n",
       "2011-04-30 00:00:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:02:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:04:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:06:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:08:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:10:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:12:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:14:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:16:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:18:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:20:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:22:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:24:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:26:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:28:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:30:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:32:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:34:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:40:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:42:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:44:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:46:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:48:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:58:00-04:00                                                 38                                                              \n",
       "...                                                                      ...                                                              \n",
       "2011-05-22 19:00:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:02:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:04:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:06:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:08:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:10:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:12:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:14:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:16:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:18:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:20:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:22:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:24:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:26:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:28:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:30:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:32:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:34:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:36:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:38:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:40:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:42:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:44:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:46:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:48:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:50:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:52:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:54:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:56:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:58:00-04:00                                                 38                                                              \n",
       "\n",
       "                           ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])  \n",
       "2011-04-30 00:00:00-04:00                                                162                                                     \n",
       "2011-04-30 00:02:00-04:00                                                162                                                     \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:34:00-04:00                                                162                                                     \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                     \n",
       "...                                                                      ...                                                     \n",
       "2011-05-22 19:00:00-04:00                                                162                                                     \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:04:00-04:00                                                162                                                     \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:52:00-04:00                                                162                                                     \n",
       "2011-05-22 19:54:00-04:00                                                162                                                     \n",
       "2011-05-22 19:56:00-04:00                                                162                                                     \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                     \n",
       "\n",
       "[1534 rows x 9 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf.disaggregate_chunk(chunk_drop_na)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# If everything can fit in memory\n",
    "gt_overall = pd.concat(gt)\n",
    "gt_overall.index = gt_overall.index.droplevel()\n",
    "pred_overall = pd.concat(pred)\n",
    "pred_overall.index = pred_overall.index.droplevel()\n",
    "\n",
    "# Having the same order of columns\n",
    "gt_overall = gt_overall[pred_overall.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x112a40f50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Rr0ZHR/OzgxKJBBzH8fKhq65nzZqlNS1RUVEICwvD5cuXceXKFVy5cgW7d+/G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e5gEVl1/TeY3KsCbvU4QMFbdVoNydP1vsc3L949d3+/uoxMWDmZlZH5o8YTIHbnNgy52QFSHD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\neDAzMzMzs7r8P2dEWBJwaxGBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1120d0950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gt_overall.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113df6c90>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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cvHkTa9eurfEZFRMmTEBERARvMODevXtIS0urUa9GR0fzq7ESiQQcx/H1Q19Z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vrtSX/t69e+ncuTORSIQVK1ZUariauk7Sufzyy5k1axbvvRf0BPjGG2+we/fuav8Ha9euBYLu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\niIiINGv/H0Y3bDXN6+EIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1129d10d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pred_overall.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pred_overall = pred_overall.ix[gt_overall.index]\n",
    "gt_overall = gt_overall.ix[pred_overall.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])</th>\n",
       "      <th>ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])</th>\n",
       "      <th>ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:02:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:04:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:06:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:08:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:10:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:12:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:14:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:16:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:18:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:20:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:22:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:24:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:26:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:28:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:30:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:32:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:34:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:36:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:38:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:40:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:42:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:44:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:46:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:48:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:50:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:52:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:54:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:56:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 00:58:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04-30 01:00:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:00:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:02:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:04:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:06:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:08:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:10:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:12:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:14:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:16:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:18:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:20:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:22:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:24:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:26:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:28:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:30:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:32:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:34:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:36:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:38:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:40:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:42:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:44:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:46:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:48:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:50:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:52:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:54:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:56:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>38</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-05-22 19:58:00-04:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>211</td>\n",
       "      <td>0</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1533 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           ElecMeter(instance=11, building=2, dataset='REDD', appliances=[Appliance(type='waste disposal unit', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                                    \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                                    \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                                    \n",
       "...                                                                      ...                                                                    \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                                    \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                                    \n",
       "\n",
       "                           ElecMeter(instance=8, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=2)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                       \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                       \n",
       "...                                                                      ...                                                       \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                       \n",
       "\n",
       "                           ElecMeter(instance=7, building=2, dataset='REDD', appliances=[Appliance(type='washer dryer', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                            \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                            \n",
       "...                                                                      ...                                                            \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                            \n",
       "\n",
       "                           ElecMeter(instance=3, building=2, dataset='REDD', appliances=[Appliance(type='sockets', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:34:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                       \n",
       "2011-04-30 00:50:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:52:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:54:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:56:00-04:00                                                 14                                                       \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                       \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                       \n",
       "...                                                                      ...                                                       \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:02:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:06:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:08:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:10:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:12:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:14:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:16:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:18:00-04:00                                                 14                                                       \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                       \n",
       "2011-05-22 19:58:00-04:00                                                 14                                                       \n",
       "\n",
       "                           ElecMeter(instance=4, building=2, dataset='REDD', appliances=[Appliance(type='light', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:34:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:36:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:38:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:40:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:42:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:44:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:46:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:48:00-04:00                                                 25                                                     \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                     \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                     \n",
       "...                                                                      ...                                                     \n",
       "2011-05-22 19:00:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:04:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:52:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:54:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:56:00-04:00                                                 25                                                     \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                     \n",
       "\n",
       "                           ElecMeter(instance=10, building=2, dataset='REDD', appliances=[Appliance(type='dish washer', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:34:00-04:00                                                  0                                                            \n",
       "2011-04-30 00:36:00-04:00                                                211                                                            \n",
       "2011-04-30 00:38:00-04:00                                                211                                                            \n",
       "2011-04-30 00:40:00-04:00                                                211                                                            \n",
       "2011-04-30 00:42:00-04:00                                                211                                                            \n",
       "2011-04-30 00:44:00-04:00                                                211                                                            \n",
       "2011-04-30 00:46:00-04:00                                                211                                                            \n",
       "2011-04-30 00:48:00-04:00                                                211                                                            \n",
       "2011-04-30 00:50:00-04:00                                                211                                                            \n",
       "2011-04-30 00:52:00-04:00                                                211                                                            \n",
       "2011-04-30 00:54:00-04:00                                                211                                                            \n",
       "2011-04-30 00:56:00-04:00                                                211                                                            \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                            \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                            \n",
       "...                                                                      ...                                                            \n",
       "2011-05-22 19:00:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:02:00-04:00                                                211                                                            \n",
       "2011-05-22 19:04:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:06:00-04:00                                                211                                                            \n",
       "2011-05-22 19:08:00-04:00                                                211                                                            \n",
       "2011-05-22 19:10:00-04:00                                                211                                                            \n",
       "2011-05-22 19:12:00-04:00                                                211                                                            \n",
       "2011-05-22 19:14:00-04:00                                                211                                                            \n",
       "2011-05-22 19:16:00-04:00                                                211                                                            \n",
       "2011-05-22 19:18:00-04:00                                                211                                                            \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:52:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:54:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:56:00-04:00                                                  0                                                            \n",
       "2011-05-22 19:58:00-04:00                                                211                                                            \n",
       "\n",
       "                           ElecMeter(instance=6, building=2, dataset='REDD', appliances=[Appliance(type='microwave', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:34:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:36:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:38:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                         \n",
       "2011-04-30 00:50:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:52:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:54:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:56:00-04:00                                                 45                                                         \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                         \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                         \n",
       "...                                                                      ...                                                         \n",
       "2011-05-22 19:00:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:04:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                         \n",
       "2011-05-22 19:52:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:54:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:56:00-04:00                                                 45                                                         \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                         \n",
       "\n",
       "                           ElecMeter(instance=5, building=2, dataset='REDD', appliances=[Appliance(type='electric stove', instance=1)])  \\\n",
       "2011-04-30 00:02:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:04:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:06:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:08:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:10:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:12:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:14:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:16:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:18:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:20:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:22:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:24:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:26:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:28:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:30:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:32:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:34:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:40:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:42:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:44:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:46:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:48:00-04:00                                                 38                                                              \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                              \n",
       "2011-04-30 00:58:00-04:00                                                 38                                                              \n",
       "2011-04-30 01:00:00-04:00                                                 38                                                              \n",
       "...                                                                      ...                                                              \n",
       "2011-05-22 19:00:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:02:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:04:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:06:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:08:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:10:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:12:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:14:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:16:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:18:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:20:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:22:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:24:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:26:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:28:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:30:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:32:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:34:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:36:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:38:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:40:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:42:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:44:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:46:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:48:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:50:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:52:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:54:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:56:00-04:00                                                 38                                                              \n",
       "2011-05-22 19:58:00-04:00                                                 38                                                              \n",
       "\n",
       "                           ElecMeter(instance=9, building=2, dataset='REDD', appliances=[Appliance(type='fridge', instance=1)])  \n",
       "2011-04-30 00:02:00-04:00                                                162                                                     \n",
       "2011-04-30 00:04:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:06:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:08:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:10:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:12:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:14:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:16:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:18:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:20:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:22:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:24:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:26:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:28:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:30:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:32:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:34:00-04:00                                                162                                                     \n",
       "2011-04-30 00:36:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:38:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:40:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:42:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:44:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:46:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:48:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:50:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:52:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:54:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:56:00-04:00                                                  0                                                     \n",
       "2011-04-30 00:58:00-04:00                                                  0                                                     \n",
       "2011-04-30 01:00:00-04:00                                                  0                                                     \n",
       "...                                                                      ...                                                     \n",
       "2011-05-22 19:00:00-04:00                                                162                                                     \n",
       "2011-05-22 19:02:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:04:00-04:00                                                162                                                     \n",
       "2011-05-22 19:06:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:08:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:10:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:12:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:14:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:16:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:18:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:20:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:22:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:24:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:26:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:28:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:30:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:32:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:34:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:36:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:38:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:40:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:42:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:44:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:46:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:48:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:50:00-04:00                                                  0                                                     \n",
       "2011-05-22 19:52:00-04:00                                                162                                                     \n",
       "2011-05-22 19:54:00-04:00                                                162                                                     \n",
       "2011-05-22 19:56:00-04:00                                                162                                                     \n",
       "2011-05-22 19:58:00-04:00                                                  0                                                     \n",
       "\n",
       "[1533 rows x 9 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_overall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rmse={}\n",
    "for col in pred_overall.columns:\n",
    "    rmse[col] = np.sqrt(mean_squared_error(gt_overall[col], pred_overall[col]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1131e9cd0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5m6SOW1DbXl8gPYsfkSbkBUvVlq9eOmY2pqKPV02AG05uG4xJE2iv5w2Ajdy+Xl9tT7xk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\nVZ7P+yStKmm1OmlsLekM4MOkeeKOzO1/PZ7Hs3nok8AYM3vL3V5tMHe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Smli4AZ8Gxrv5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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113dd5d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(rmse).plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x111febd50>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MNLOHldT4y+bhOcBZPl6uN7M7szgLifY04LNu/iTwGUkn+u8VgA3dPM7MXizJ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Ffv2Vfq4xZSH5xA98TE2PzsZ9K9xGBRuUlj8c9yO36Ynu24wlZAtWJYTb3fmi6qxpAcfhkwV2lj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\n0PA/skw+mgNSUT0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113456f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(rmse).plot(kind=\"barh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
